Wolfgang Erb is an applied mathematician and Associate Professor in numerical analysis at the Department of Mathematics “Tullio Levi-Civita”, University of Padua (Padua, Italy).

He received his Ph.D in Mathematics at the Technical University
of Munich (Munich, Germany) in 2010. He has been a post-doctoral research fellow at the University of Lübeck (Lübeck, Germany), at the University of Eichstätt-Ingolstadt (Eichstätt, Germany) and an assistant professor in mathematics at the University of Hawaii at Manoa (Honolulu, US).

His research interests include multivariate approximation linked to Lissajous curves, uncertainty principles on manifolds and graphs, kernel methods for signal processing and learning on networks, fast and efficient reconstruction algorithms for inverse problems, as well as applications in biomedical imaging, in particular Magnetic Particle Imaging.

He is teaching the course “Mathematical Models and Numerical Methods for Big Data” for the Data Science master’s program at the University of Padua.

Webpage: https://www.lissajous.it

Github: https://github.com/WolfgangErb

Researchgate: https://www.researchgate.net/profile/Wolfgang-Erb-2